The All-or-Nothing Phenomenon in Sparse Linear Regression.

Galen Reeves Jiaming Xu Ilias Zadik

Published in: COLT (2019)

Keyphrases

linear regression
generalized linear models
sparse regression
least squares
regression problems
regression methods
high dimensional
ridge regression
linear regression model
nonlinear regression
locally weighted
feature space
statistically significant
linear models
computer vision
loss bounds